Private credit paid for the chips behind your AI tools, so AI private credit risk is yours too: ask each vendor how long its money lasts. Apollo, with Blackstone and Broadcom, arranged an initial $35 billion loan so Anthropic could rent Google chips in Fluidstack data centres, a structure that per PitchBook keeps the hardware off Anthropic’s balance sheet. Axios called it one of the largest private credit deals ever.
The risk for you is slow and indirect. Lenders get repaid from your vendor’s revenue, so if that revenue lags, prices, plan limits and product choices move first. Ask each vendor you depend on how long its money lasts.
Key points
- Why does AI private credit risk reach a small buyer? Because the tools you rent are built on money someone lent against future payments, and your subscription is one of those payments.
- Is a lender’s cheap pricing a comfort or a warning? Mostly a warning to be careful with long commitments.
- Which contract terms matter if a vendor’s financing tightens? Three: short prepayment, a price lock you can leave, and a written data export.
- What should a small firm leave alone? Do not try to read a lab’s credit structure.
Why does AI private credit risk reach a small buyer?
Because the tools you rent are built on money someone lent against future payments, and your subscription is one of those payments. A model maker that borrows to buy chips has to earn the money back from customers before the loan comes due.
If revenue arrives slower than the repayment schedule, the pressure lands on pricing and plan limits long before it reaches a court.
The Bank for International Settlements has been warning about the shape of this since January. Its staff found that private credit going to AI-related companies had grown from under 1% of outstanding loan volume to almost 8%, and that lenders priced those loans about like any other corporate loan. The BIS read that as a mismatch with the sky-high expectations in equity markets. Either lenders are too relaxed, or shareholders are too excited. Both can be true.
That is a view from a regulator, not a forecast. Nothing here says a particular lab is in trouble. It says the cushion between a good outcome and a bad one is thinner than the headlines suggest.
Is a lender’s cheap pricing a comfort or a warning?
Mostly a warning to be careful with long commitments. A lender that charges AI borrowers no more than anyone else is saying the loans look safe today, not that they stay safe if demand disappoints. It also says nothing about what a vendor does to your plan if it has to cut costs.
The BIS also noted, in a July bulletin, that business development companies have lent roughly $115 billion to software firms, about 20% of their lending, and that credit spreads have narrowed, which leaves less room to absorb losses.
Put those together. Lenders are financing the companies that build AI and, separately, the software companies AI could undercut. If AI spreads fast, the second group has a problem. If it pays off slowly, the first group does. The same cheque book sits on both sides of that bet. Nvidia has been buying as well as lending, and the CentML acquisition price was reported at well over US$300 million.
For the buyer, the useful reading is narrow. The vendors you depend on are probably well funded this year. The question is what your contract does if one of them is not funded in year three. Growth claims in AI need the same reading, as the Allbirds AI pivot shows.
Which contract terms matter if a vendor’s financing tightens?
Three: short prepayment, a price lock you can leave, and a written data export. None costs the vendor anything today, and each makes a later switch cheaper if its financing tightens or its plans change. Ask for them at renewal, not after a price notice arrives.
The debt rarely shows up on the vendor’s own books, which is why off-balance-sheet AI spending is worth tracking.
- Short prepayment. Pay monthly or quarterly. An annual prepayment is an unsecured loan to your supplier, and you are the lender with the least information.
- Price protection with an exit. A locked rate is only worth having if you can leave when the vendor changes plan limits. We made the same point about Big Tech’s off-balance-sheet commitments.
- Data and prompt portability. Ask for an export of your prompts, files, fine-tunes and logs, in a format another tool can read. Switching costs fall when this is written down.
None of this assumes a collapse. It is the same discipline as pricing by cost per successful task, applied to the vendor’s balance sheet instead of the invoice. It also fits the Monday routine in our vendor risk checklist, which treats a supplier’s stability as one more line to check.
What should a small firm leave alone?
Do not try to read a lab’s credit structure. You will not get the documents, and the public figures change by the quarter. Anything about fund withdrawals or refinancing stress that you read in the headlines is worth treating as unverified until you see the filing.
Do not switch vendors on a rumour either. Moving a team’s workflow costs weeks. The better move is to make the next switch cheap, so that if a supplier reprices, the decision takes an afternoon, not a quarter.
Here is the sceptic’s case. The loans are secured on chips and signed leases, and in that same July bulletin the BIS listed modest borrowing and a high share of secured lending as limits on how far losses could spread. That is the best argument for calm. But chips lose value faster than buildings, so collateral can be thinner than it sounds, and a long contract with one supplier is still concentration risk. We would change our view if vendors published the term of their financing next to their price list. Until then, ask.
Pick the one vendor your business could not replace in a week. Check its contract for a prepayment, a price lock and an export clause, and move whatever you can to monthly billing before renewal.
Frequently asked questions
What is private credit and why is it funding AI?
Private credit is lending negotiated directly between a borrower and a non-bank lender. It is funding AI because the buildout needs more money than banks and bond markets will supply quickly, as in the $35 billion chip deal for Anthropic.
Is AI private credit risk a reason to avoid an AI vendor?
No. The BIS warns about systemic exposure, not about specific labs. The practical response is shorter prepayment, an exit from price locks and a data export, not a ban on suppliers.
What contract terms protect a small business from vendor financing stress?
Ask for monthly or quarterly billing, a price lock you can leave, and a written export of your prompts, files and logs. These cost the vendor little and make a later switch quicker.
Last fact-checked October 9, 2026. Sources are linked on the claims they support.
